Advertisement

Analysis Technics of Seismic Signals

  • Changwei YangEmail author
  • Guotao Yang
  • Jianjing Zhang
  • Hongsheng Ma
Chapter

Abstract

The main contents of seismic signals are its expression, conversion, and operation as well as the contained information. The typical seismic signal process generally contains preprocess of seismic signals, time-domain analysis, frequency-domain analysis, and modal analysis.

Bibliography

  1. Gao Pinxian. The influence and elimination of the trend term to the parameter identification in time domain [J]. Vibration, test and analysis, 1994, 14(2):20–26. Google Scholar
  2. Gong Maosheng, Xie Lili. Preliminary study on the application of HHT method in Earthquake Engineering [J], World Earthquake Engineering, 2003, 19(3):39–43.Google Scholar
  3. Huang N.E Shen Z. Long S R.et al. The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis [J]. Proc R. Soc Lond. 1998 A 454:903–995.Google Scholar
  4. Li Shaoyuan, Cao Baoding, Meng Zhaozhong, Wang Xianqiong. Study on forecasting model based on time series analysis [J], Journal of Hebei Institute of Technology, 1995, (3):7–11.Google Scholar
  5. N E Huang, Zheng Shen, Steven R L. A new view of nonlinear water waves: the Hilbert spectrum [J]. Annu.Rev.Fluid Mech. 1999, (31):417–457.MathSciNetCrossRefGoogle Scholar
  6. Ren Daqian, Wu Zhaotong, Yan Gongbiao. Evaluation index of EMD endpoint effect and window function method to restrain the end effect [J]. Manufacturing automation, 2007, 29(1):21–24.Google Scholar
  7. Song Pingjian, Zhang Jie. Application of two dimensional empirical decomposition in ocean remote sensing image separation [J]. High technical bulletin, 2001, (9):39–43.Google Scholar
  8. Wang Ji. The application of MATLAB in vibration signal processing [M]. Beijing: China Water &Power Press, 2006:73–78.Google Scholar
  9. Xiong Xuejun, Guo Binghuo, et al. Application and discussion of EMD method and Hilbert spectrum analysis method [J], Huang Bo Ocean, 2002, 20(2):12–21.Google Scholar
  10. Yang Shixi, Hu Jinsong, Wu Shaotong et al. An analytical comparison between Hilbert Transform and Wavelet transform frequency of rotating machinery vibration signals based on EMD [J]. Journal of Chinese Electrical Engineering Science, 2003, 23(6):102–107.Google Scholar
  11. Zhi-Yuang Su, Chuan-Chen Wang, Tzuyin Wu, et al. Instantaneous frequency-time analysis of physiology signals: The application of pregnant women’s radial artery pulse signals. Physica A 2008, 387:485–494.CrossRefGoogle Scholar
  12. Zhu Xuefeng, Han Ning. Non stationary signal trend term elimination method based on Wavelet Transform [J]. Journal of aircraft measurement and control, 2006, 10(5):82–83.Google Scholar
  13. Z.K. Peng, Peter W. Tse, F.L. Chu. An improved Hilbert-Huang transform and its application in vibration signal analysis. Journal of Sound and Vibration, 2005, 286:187–205.CrossRefGoogle Scholar

Copyright information

© Science Press and Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Changwei Yang
    • 1
    Email author
  • Guotao Yang
    • 2
  • Jianjing Zhang
    • 3
  • Hongsheng Ma
    • 4
  1. 1.Southwest Jiaotong UniversityChengduChina
  2. 2.China Railways CorporationBeijingChina
  3. 3.Southwest Jiaotong UniversityChengduChina
  4. 4.Sichuan Provincial Department of TransportationChengduChina

Personalised recommendations